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24562 Analytic clock frequency selection for global DVFS
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Gerards, M.E.T. and Hurink, J.L. and Hölzenspies, P.K.F. and Kuper, J. and Smit, G.J.M. (2014) Analytic clock frequency selection for global DVFS. In: 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2014, 12-14 Feb 2014, Turin, Italy. pp. 512-519. IEEE Computer Society. ISSN 1066-6192 ISBN 978-1-4799-2728-9

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Computers can reduce their power consumption by decreasing their speed using Dynamic Voltage and Frequency Scaling (DVFS). A form of DVFS for multicore processors is global DVFS, where the voltage and clock frequency is shared among all processor cores. Because global DVFS is efficient and cheap to implement, it is used in modern multicore processors like the IBM Power 7, ARM Cortex A9 and NVIDIA Tegra 2. This theory oriented paper discusses energy optimal DVFS algorithms for such processors. There are no known provably optimal algorithms that minimize the energy consumption of nontrivial real-time applications on a global DVFS system. Such algorithms only exist for single core systems, or for simpler application models. While many DVFS algorithms focus on tasks, this theoretical study is conceptually different and focuses on the amount of parallelism. We provide a transformation from a multicore problem to a single core problem, by using the amount of parallelism of an application. Then existing single core algorithms can be used to find the optimal solution. Furthermore, we extend an existing single core algorithm such that it takes static power into account.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-CAES: Computer Architecture for Embedded Systems, EWI-DMMP: Discrete Mathematics and Mathematical Programming
Research Program:CTIT-WiSe: Wireless and Sensor Systems
Research Project:EASY: Embedded Adaptive Streaming sYstems, SENSATION: Self Energy-supporting Autonomous Computation
Uncontrolled Keywords:Dynamic voltage and frequency scaling, energy minimization, mathematical programming, parallel processing
ID Code:24562
Deposited On:28 April 2014
More Information:statisticsmetis

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